I’ve been working on a few ML assignments lately, and I must admit—some concepts are seriously tricky to grasp. 😅 Personally, I found understanding gradient descent, backpropagation, and feature selection the most challenging parts so far. It feels like every time I get the theory down, applying it to real datasets throws me off.

I’ve been exploring some machine learning assignment services for extra support and came across a few online machine learning assignment help platforms. While they offer quick solutions, I’m curious to know—what concepts have you found the hardest in your machine learning homework?

Also, has anyone here used machine learning homework help USA providers or worked with a machine learning homework expert? Was it worth it?

Let’s help each other out—share your struggles and hacks! 💡